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A Systematic Review of Experimental Studies on Data Glyphs
IEEE Transactions on Visualization and Computer Graphics
|April 6, 2016
Summary
This review synthesizes 60 years of data glyph research, offering insights into design tradeoffs. It provides a structured overview and practical implications for researchers and practitioners in data visualization.
Area of Science:
- Information Visualization
- Human-Computer Interaction
- Data Representation
Background:
- Data glyphs are visual representations for multi-dimensional data points.
- Numerous glyph designs have been proposed and evaluated over six decades.
- A systematic overview of glyph design variations, study goals, and results is lacking.
Purpose of the Study:
- To systematically review user-study papers on data glyphs.
- To provide an informed understanding of tradeoffs in glyph design.
- To synthesize existing research on glyph design and evaluation.
Main Methods:
- Systematic literature review of 64 user-study papers on data glyphs.
- Tabulation of glyph designs, research questions, data types, and tasks.
- Meta-analysis of study results.
Main Results:
- Categorization of glyph types and design characteristics.
- Synthesis of findings from perceptual and comparative evaluations.
- Identification of common study goals and tasks in glyph research.
Conclusions:
- Established design implications based on meta-analysis.
- Highlighted open research directions for data glyph development.
- Provided a foundational resource for data glyph research and practice.
